Noga Zaslavsky
Noga Zaslavsky
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compression
The evolution of color naming reflects pressure for efficiency: Evidence from the recent past
Noga Zaslavsky*
,
Karee Garvin*
,
Charles Kemp
,
Naftali Tishby
,
Terry Regier
2022
Journal of Language Evolution
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DOI
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The forms and meanings of grammatical markers support efficient communication
Francis Mollica
,
Geoffrey Bacon
,
Noga Zaslavsky
,
Yang Xu
,
Terry Regier
,
Charles Kemp
2021
PNAS
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DOI
Preprint
Let's talk (efficiently) about us: Person systems achieve near-optimal compression
Noga Zaslavsky*
,
Mora Maldonado*
,
Jennifer Culbertson
2021
CogSci
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Proceedings
Empirical support for a Rate-Distortion account of pragmatic reasoning
Irene Zhou
,
Jennifer Hu
,
Roger P. Levy
,
Noga Zaslavsky
2021
CogSci
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Proceedings
A Rate–Distortion view of human pragmatic reasoning
Noga Zaslavsky
,
Jennifer Hu
,
Roger Levy
2021
SCiL
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DOI
A Rate–Distortion view of human pragmatic reasoning
Noga Zaslavsky
,
Jennifer Hu
,
Roger Levy
2020
arXiv preprint
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Toward human-like object naming in artificial neural systems
Tiwalayo Eisape
,
Roger Levy
,
Joshua Tenenbaum
,
Noga Zaslavsky
2020
BAICS @ ICLR
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Video
ICLR Workshop
Rate–Distortion theory and pragmatic reasoning
Deterministic annealing and the evolution of Information Bottleneck representations
Noga Zaslavsky
,
Naftali Tishby
2019
Technical report
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Semantic categories of artifacts and animals reflect efficient coding
Noga Zaslavsky
,
Terry Regier
,
Naftali Tishby
,
Charles Kemp
2019
CogSci
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